Bioinformatics seminar

Týden 1

The Bioinformatics Seminar is a course in which we follow and discuss the newest, or most interesting research in the field of bioinformatics.

First week will be devoted to organizational issues, introducing the format and preparing the calendar for the semester.

Invited talks and journal club presentations will appear in specific weeks here. To visit the public webpage of the Bioinformatics seminar and get a link to a possible online presentation, please, go to https://bioinf.pages.fi.muni.cz/posts/iv106/

TIMETABLE

To reserve a slot for your journal club presentation, please use Tudle (registration link)

RESOURCES

New areas of study in molecular biology, genomics and bioinformatics:

  • new sequence data formats (CRAM, MPEG-G)
  • graph representation of pangenomes and variation data
  • long read processing and their advantages (nanopore, PacBio SMRT)
  • single-cell transcriptomics (scRNA-seq)
  • repetitive sequence analysis
  • genotype-phenotype relationships (phenomics)
  • bioinformatics of protein structure and function
  • metagenomic studies and data processing
  • epigenetic mechanisms and chromatin studies
  • 3D chromatin structure in the nucleus
  • alignment-free sequence similarity

JOURNALS

ARTICLES - examples

Versel_2019
Will Bioinformatics Professionals Embrce MPEG-G?
Introduction to MPEG-G, a new ISO standard

https://www.researchgate.net/publication/370374862_An_excavate_root_for_the_eukaryote_tree_of_life

TASK:

Choose an article for presentation (ideally covering one of the first two subjects shown in bold) and send me your selection by March 1, 2024.

With a possible help from the teacher prepare a presentation (sometimes including a demo) of the study or computational tool. Sometimes it is necessary to go beyond a single source, using manuals, previous studies and other supporting material to make the presentation complete and self-supporting.

Choose a paper that:

  • will be interesting (to you and the rest of us as well)
  • you understand well, but is not excessively trivial
  • contains a bioinformatic element (algorithm, tool, data processing etc.)
  • studies or is related to genomes, proteins, genomics, proteomics, transcriptomics or DNA/RNA sequences

Presentation dates will be shown in the following sections (weeks) here.